Senior Applied Scientist , Research and Applied Science Team, PXT Senior Talent and Transformation

How do you measure what makes a great leader? How do you evaluate a development program when outcomes take years to materialize and clean experimental conditions are rarely available? How do you take a Basic qualifications: - Experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems, or experience building complex software systems that have been successfully delivered to customers - PhD in industrial-organizational psychology, organizational behavior, economics, statistics, computer science, or a related quantitative discipline - 5+ years of applied research experience after the PhD, with a demonstrable track record of delivering scientifically complex solutions into production systems that other teams depend on - Strong software engineering skills in Python, including the ability to design, build, test, and maintain production pipelines independently without dedicated software development engineering support - Deep scientific expertise in at least one of the following areas and enough working knowledge in the others to contribute meaningfully across the team's full research portfolio: psychometric measurement and validation, causal inference with observational and quasi-experimental data, or applied LLM systems including prompt orchestration and evaluation Preferred: - Experience serving as the primary or sole implementer of scientific systems on a research team, where engineering quality and production reliability were your responsibility rather than a dedicated engineer's - Hands-on experience building LLM pipelines including retrieval-augmented generation, automated scoring, and LLM-as-judge evaluation harnesses, with direct ownership of those systems in production - Experience designing or validating simulation-based, work-sample, or structured assessment instruments in an applied organizational context, including familiarity with psychometric validation standards relevant to high-stakes talent decisions - Applied experience with quasi-experimental methods such as difference-in-differences, regression discontinuity, matching, or synthetic control in field settings where identification strategy required genuine methodological judgment rather than textbook application - Experience establishing and modeling software engineering best practices, such as testing, documentation, and code review, for colleagues who are strong scientists but not trained software engineers - Publications or presentations at venues such as SIOP, AOM, NeurIPS, EMNLP, or peer-reviewed journals in measurement, causal inference, or machine learning Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 183,800.00 - 248,700.00 USD annually USA, VA, Arlington - 167,100.00 - 226,100.00 USD annually USA, WA, Seattle - 167,100.00 - 226,100.00 USD annually